An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges
As the world moves towards industrialization, optimization problems become more
challenging to solve in a reasonable time. More than 500 new metaheuristic algorithms …
challenging to solve in a reasonable time. More than 500 new metaheuristic algorithms …
Metaheuristics: a comprehensive overview and classification along with bibliometric analysis
Research in metaheuristics for global optimization problems are currently experiencing an
overload of wide range of available metaheuristic-based solution approaches. Since the …
overload of wide range of available metaheuristic-based solution approaches. Since the …
A comprehensive analysis of nature-inspired meta-heuristic techniques for feature selection problem
M Sharma, P Kaur - Archives of Computational Methods in Engineering, 2021 - Springer
Meta-heuristics are problem-independent optimization techniques which provide an optimal
solution by exploring and exploiting the entire search space iteratively. These techniques …
solution by exploring and exploiting the entire search space iteratively. These techniques …
Comprehensive taxonomies of nature-and bio-inspired optimization: Inspiration versus algorithmic behavior, critical analysis recommendations
In recent algorithmic family simulates different biological processes observed in Nature in
order to efficiently address complex optimization problems. In the last years the number of …
order to efficiently address complex optimization problems. In the last years the number of …
[HTML][HTML] A comprehensive review on meta-heuristic algorithms and their classification with novel approach
H Rajabi Moshtaghi, A Toloie Eshlaghy… - Journal of Applied …, 2021 - journal-aprie.com
Conventional and classical optimization methods are not efficient enough to deal with
complicated, NP-hard, high-dimensional, non-linear, and hybrid problems. In recent years …
complicated, NP-hard, high-dimensional, non-linear, and hybrid problems. In recent years …
[HTML][HTML] A comprehensive meta-analysis of emerging swarm intelligent computing techniques and their research trend
This study presents an extensive analysis of ten emerging swarm intelligence metaheuristic
techniques, namely Emperor Penguins Colony (EPC), Harris Hawks Optimizer (HHO) …
techniques, namely Emperor Penguins Colony (EPC), Harris Hawks Optimizer (HHO) …
Glossary of metaheuristic algorithms
Metaheuristic algorithms have been an interesting area for researchers, scientists and
academicians due to their specific and significant characteristics and capabilities. Their …
academicians due to their specific and significant characteristics and capabilities. Their …
[PDF][PDF] Historical survey on metaheuristics algorithms
SM Almufti - International Journal of Scientific World, 2019 - academia.edu
Metaheuristic algorithms have been an interesting and widely used area for scientists,
researchers and academicians because of their specific and significant characteristics and …
researchers and academicians because of their specific and significant characteristics and …
A comprehensive survey on the applications of swarm intelligence and bio-inspired evolutionary strategies
A Tzanetos, G Dounias - Machine learning paradigms: advances in deep …, 2020 - Springer
Abstract For many decades, Machine Learning made it possible for humans to map the
patterns that govern interpolating problems and also, provided methods to cluster and …
patterns that govern interpolating problems and also, provided methods to cluster and …
Nature-inspired algorithms from oceans to space: A comprehensive review of heuristic and meta-heuristic optimization algorithms and their potential applications in …
S Darvishpoor, A Darvishpour, M Escarcega… - Drones, 2023 - mdpi.com
This paper reviews a majority of the nature-inspired algorithms, including heuristic and meta-
heuristic bio-inspired and non-bio-inspired algorithms, focusing on their source of inspiration …
heuristic bio-inspired and non-bio-inspired algorithms, focusing on their source of inspiration …